Create README.md

README.md

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+---
+inference: false
+datasets:
+- answerdotai/MMARCO-japanese-32-scored-triplets
+- unicamp-dl/mmarco
+language:
+- ja
+pipeline_tag: sentence-similarity
+tags:
+- ColBERT
+base_model:
+- cl-tohoku/bert-base-japanese-v3
+- bclavie/JaColBERT
+license: mit
+library_name: RAGatouille
+---
+
+Model weights for the JaColBERTv2.4 checkpoint, which is the pre-post-training version of JaColBERTv2.5, using an entirely overhauled training recipe and trained on just 40% of the data of JaColBERTv2.
+
+This model largely outperforms all previous approaches, including JaColBERTV2 multilingual models such as BGE-M3, on all datasets.
+
+This page will be updated with the full details and the model report in the next few days.